Results 221 to 230 of about 14,247 (264)
Some of the next articles are maybe not open access.
Datenbank-Spektrum, 2016
Many applications face the problem that users are overwhelmed by the large amount of available data. In some cases an objective ranking function can be used to order data items by their relevance – similar to the top 10 results displayed by a Web search engine.
openaire +2 more sources
Many applications face the problem that users are overwhelmed by the large amount of available data. In some cases an objective ranking function can be used to order data items by their relevance – similar to the top 10 results displayed by a Web search engine.
openaire +2 more sources
Skyline Travel Routes: Exploring Skyline for Trip Planning
2014 IEEE 15th International Conference on Mobile Data Management, 2014In this paper, given a spatial range Q and a set of query points specified by users, the goal of this paper is to return the travel routes that fulfill two requirements: 1.) travel routes should contain all those query points specified, and 2.) travel routes should be within the spatial range Q.
Wan Ting Hsu +3 more
openaire +1 more source
Skyline Diagram: Finding the Voronoi Counterpart for Skyline Queries
2018 IEEE 34th International Conference on Data Engineering (ICDE), 2018Skyline queries are important in many application domains. In this paper, we propose a novel structure Skyline Diagram, which given a set of points, partitions the plane into a set of regions, referred to as skyline polyominos. All query points in the same skyline polyomino have the same skyline query results.
Jinfei Liu +4 more
openaire +1 more source
Neural skyline filter for accelerating skyline search algorithms
Expert Systems, 2014AbstractThe skyline search problem has been identified as one of the key problems in database research. None of the developed skyline search algorithms include the use of a filter to facilitate the search process. This paper proposes a novel modification involving the use of skyline filters to reduce the search space of a skyline problem by removing ...
Yi-Chung Chen, Chiang Lee
openaire +1 more source
Limitations of Skyline Algorithms
Proceedings of the 2015 International Conference on Big Data Applications and Services, 2015Skyline queries compute data that are not dominated by any other data in the same database. Thus, it can discover user preference points without using scoring functions. Until now a lot of algorithms have been proposed that can solve the given problem in different ways. Sort-Filter Skyline (SFS) algorithm first makes sorting on data, which is conducted
Saydiolim Ganiev +2 more
openaire +1 more source
The Skyline of a Probabilistic Relation
IEEE Transactions on Knowledge and Data Engineering, 2013In a deterministic relation R, tuple u dominates tuple v if u is no worse than v on all the attributes of interest, and better than v on at least one attribute. This concept is at the heart of skyline queries, that return the set of undominated tuples in R.
BARTOLINI, ILARIA +2 more
openaire +2 more sources
Skyline View: Efficient Distributed Subspace Skyline Computation
2009Skyline queries have gained much attention as alternative query semantics with pros (e.g.low query formulation overhead) and cons (e.g.large control over result size). To overcome the cons, subspace skyline queries have been recently studied, where users iteratively specify relevant feature subspaces on search space.
Jinhan Kim, Jongwuk Lee, Seung-won Hwang
openaire +1 more source
Preferred Skyline: A Hybrid Approach Between SQLf and Skyline
2005The World Wide Web (WWW) is a great repository of data and it may reference thousands of data sources for almost any knowledge domain. Users frequently access sources to query information and may be interested only in the top k answers that meet their preferences.
Marlene Goncalves, Maria-Esther Vidal
openaire +1 more source
2010 12th International Asia-Pacific Web Conference, 2010
The skyline queries are often used in several recommendation applications. Most existing related works have focused on skyline computation in many multidimensional data. However, these works do not consider an interesting query generated from non-skyline point. In this paper, we propose a new query, called skyline minimum vector which finds the minimum
Su Min Jang, Choon Seo Park, Jae Soo Yoo
openaire +1 more source
The skyline queries are often used in several recommendation applications. Most existing related works have focused on skyline computation in many multidimensional data. However, these works do not consider an interesting query generated from non-skyline point. In this paper, we propose a new query, called skyline minimum vector which finds the minimum
Su Min Jang, Choon Seo Park, Jae Soo Yoo
openaire +1 more source
Semi-skylines and skyline snippets
2010Skyline evaluation techniques (also known as Pareto preference queries) follow a common paradigm that eliminates data elements by finding other elements in the data set that dominate them. To date already a variety of sophisticated skyline evaluation techniques are known, hence skylines are considered a well researched area. Nevertheless, in this paper
Endres, Markus +1 more
openaire +1 more source

